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50 个 agent 交易系统用 Jev 1.13 做最终决策

作者把 49 个微观 agent 的信号压缩成统一状态,交给 Jev 1.13 输出买/卖/持的受限选择,再过风控闸门。

lostinazeroy
@lostinazeroy2026.10.02收录原推发布于 2026.10.02
lostinazeroy @lostinazeroy原推发布于 2026.10.02
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I FORCED 50 AI AGENTS INTO A SINGLE DECISION LOOP. HERE IS HOW THE PIPELINE ACTUALLY WORKS. Everyone tries to scale trading bots by adding more prompts. What you actually get is latency, duplicated signals, and model paralysis. To make 50 agents trade coherently, you have to treat the desk as a closed-loop inference machine: 1. INGEST: 49 micro-agents capture order book imbalances, spreads, and regime shifts. 2. DISPUTE: Conflicting inputs are mapped and scored instead of hidden. 3. SYNTHESIZE: Agent #50 strips the noise and builds one unified state payload. 4. INFERENCE: Jev 1.13 evaluates the compressed state to deliver a bounded choice. 5. GATE: Hard risk checks verify spread and liquidity before capital is unlocked. If you don’t engineer the handoff between agents, you don’t have a multi-agent system. You just have chaos with API keys. I documented the full state builder and execution gate architecture in the article below.

x.com/lostinazeroy/status/2105718861706235925采集于 2026.10.02 10:03